DEVELOPMENT... OpenML
Run
36796

Run 36796

Task 4604 (Supervised Classification) mozilla4 Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I10
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9613
Per class
Build CPU time
5.7084
Build memory
835635826.6769
F measure
0.9411
Per class
Kappa
0.8642
KB relative information score
134071.2342
Mean absolute error
0.0577
Mean prior absolute error
0.4412
Number of instances
155450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9463
Per class
Predictive accuracy
0.9426
Prior entropy
0.9135
Recall
0.9426
Per class
Relative absolute error
0.1307
Root mean prior squared error
0.4697
Root mean squared error
0.2387
Root relative squared error
0.5083
SciMark benchmark
942.6202